org.k2fsa.sherpa.ncnn.runtime.osx-x64 2.1.6 

dotnet add package org.k2fsa.sherpa.ncnn.runtime.osx-x64 --version 2.1.6
NuGet\Install-Package org.k2fsa.sherpa.ncnn.runtime.osx-x64 -Version 2.1.6
This command is intended to be used within the Package Manager Console in Visual Studio, as it uses the NuGet module's version of Install-Package. 
<PackageReference Include="org.k2fsa.sherpa.ncnn.runtime.osx-x64" Version="2.1.6" />
For projects that support PackageReference, copy this XML node into the project file to reference the package. 
paket add org.k2fsa.sherpa.ncnn.runtime.osx-x64 --version 2.1.6
#r "nuget: org.k2fsa.sherpa.ncnn.runtime.osx-x64, 2.1.6"
#r directive can be used in F# Interactive and Polyglot Notebooks. Copy this into the interactive tool or source code of the script to reference the package. 
// Install org.k2fsa.sherpa.ncnn.runtime.osx-x64 as a Cake Addin
#addin nuget:?package=org.k2fsa.sherpa.ncnn.runtime.osx-x64&version=2.1.6

// Install org.k2fsa.sherpa.ncnn.runtime.osx-x64 as a Cake Tool
#tool nuget:?package=org.k2fsa.sherpa.ncnn.runtime.osx-x64&version=2.1.6

Introduction

sherpa-ncnn is an open-source real-time speech recognition toolkit developed by the Next-gen Kaldi team.

It supports streaming recognition on a variety of platforms such as Android, iOS, Raspberry, Linux, Windows, macOS, etc.

It does not require Internet connection during recognition.

See the documentation https://k2-fsa.github.io/sherpa/ncnn/index.html for details.

There are no supported framework assets in this package.

Learn more about Target Frameworks and .NET Standard.

  • .NETCoreApp 3.1

    • No dependencies.

  • .NETStandard 2.0

    • No dependencies.

  • .NETStandard 2.1

    • No dependencies.

  • net6.0

    • No dependencies.

  • net7.0

    • No dependencies.

NuGet packages (1)

Showing the top 1 NuGet packages that depend on org.k2fsa.sherpa.ncnn.runtime.osx-x64:

Package Downloads
org.k2fsa.sherpa.ncnn

sherpa-ncnn is an open-source real-time speech recognition toolkit developed by the Next-gen Kaldi team. It supports streaming recognition on a variety of platforms such as Android, iOS, Raspberry, Linux, Windows, macOS, etc. It does not require Internet connection during recognition. See the documentation https://k2-fsa.github.io/sherpa/ncnn/index.html for details.

GitHub repositories

This package is not used by any popular GitHub repositories.

Version Downloads Last updated
2.1.6 1,877 1/12/2024
2.1.5 353 1/4/2024
2.1.4 2,082 10/17/2023
2.1.3 1,064 9/19/2023
2.1.2 638 9/5/2023
2.1.1 368 8/31/2023
2.1.0 206 8/31/2023
2.0.7 549 8/18/2023
2.0.6 268 8/18/2023
2.0.5 614 8/4/2023
2.0.4 223 8/4/2023
2.0.3 318 8/4/2023
2.0.2 1,170 5/24/2023
2.0.1 212 5/20/2023
2.0.0 196 5/19/2023
1.9.1 266 5/7/2023
1.9.0 211 5/4/2023
1.8.11 200 5/4/2023
1.8.10 166 5/4/2023
1.8.9 213 5/4/2023
1.8.8 200 5/4/2023
1.8.7 165 5/4/2023
1.8.6 232 5/3/2023
1.8.3 244 5/2/2023
1.8.2 194 5/2/2023